🛠 Tech Stack

💼 About This Role

You'll join the Large Model Evaluation team at Waymo, developing novel metrics and sampling techniques to assess ML models in autonomous driving. Your work will directly impact the safety and reliability of the Waymo Driver by identifying edge cases and providing performance insights. You'll collaborate with world-class teams to build data pipelines and conduct analyses on large-scale simulations.

🎯 What You'll Do

• Develop metrics and sampling techniques for driving trajectory evaluation.
• Use simulation strategies to assess generative AI model performance.
• Identify edge cases and provide reliable performance insights.
• Build data pipelines for signal discovery and metric computation.

📋 Requirements

• 7+ years industry experience in quantitative software engineering.
• Proficiency in Python or C++.
• Experience building data processing pipelines for large-scale systems.
• Knowledge of AI fundamentals like transformer architectures.

✨ Nice to Have

• Experience with simulation systems, robotics, or autonomous vehicles.
• Familiarity with deep learning frameworks like JAX or TensorFlow.
• Experience leading a team of engineers.

🎁 Benefits & Perks

• 💰 Discretionary annual bonus program
• 📈 Equity incentive plan
• 🏥 Generous Company benefits program

🚩 Heads Up

• Role title combines Software Engineer and Data Scientist, potentially mixing responsibilities.
• Requires 7+ years experience but also lists 'Staff' level, which may indicate high expectations.